Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping reflections, highlights, and other effects consistent across different viewing angles. Here ...

Abstract: Multi-object tracking (MOT) aims to estimate the bounding boxes and ID labels of objects in videos. The challenging issue in this task is to alleviate competitive learning between the ...

Succession planning in the RIA industry is often treated as a legal exercise. Advisors draft documents and structure buy-sell agreements, assuming the hardest part is complete. In reality, that is ...

This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples closely ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

Abstract: Estimating the poses of new objects is a challenging problem. Although many methods have been developed for instance-level object pose estimation, they often struggle when faced with ...

Andrew Ng’s startup LandingAI wants to make agentic AI the backbone of enterprise document processing with ADE DPT-2. (Photo by Mark RALSTON / AFP) (Photo credit should read MARK RALSTON/AFP via Getty ...

A common misconception in automated software testing is that the document object model (DOM) is still the best way to interact with a web application. But this is less helpful when most front ends are ...

ACORD, the global standards-setting body for the insurance industry, has announced the launch of the Next-Generation Digital Standards (NGDS) Object Model, designed to streamline digital data exchange ...

While large language models (LLMs) have mastered text (and other modalities to some extent), they lack the physical "common sense" to operate in dynamic, real-world environments. This has limited the ...